Inferring heading direction from silhouettes

Amina Bensebaa, Slimane Larabi, Neil M. Robertson

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

Due to the absence of features that may be extracted from face, heading direction estimation for low resolution images is a difficult task. For such images, estimating heading direction requires to taking into account all information that may be inferred from human body in image, particularly its silhouette.We propose in this paper a set of geometric features extracted from shape shoulders-head, feet and knees shapes which jointly allow the estimation of body direction. Other features extracted from head-shoulders are proposed for the estimation of heading direction based on body direction. The constraint of camera position related to proposed features is discussed and results of experiments conducted are presented.

Original languageEnglish
Title of host publicationDevelopments in Medical Image Processing and Computational Vision
EditorsJoão Manuel R. S. Tavares, Renato Natal Jorge
Pages319-334
Number of pages16
Volume19
ISBN (Electronic)978-3-319-13407-9
DOIs
Publication statusPublished - 2015

Publication series

NameLecture Notes in Computational Vision and Biomechanics
Volume19
ISSN (Print)2212-9391

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering

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  • Cite this

    Bensebaa, A., Larabi, S., & Robertson, N. M. (2015). Inferring heading direction from silhouettes. In J. M. R. S. Tavares, & R. Natal Jorge (Eds.), Developments in Medical Image Processing and Computational Vision (Vol. 19, pp. 319-334). (Lecture Notes in Computational Vision and Biomechanics; Vol. 19). https://doi.org/10.1007/978-3-319-13407-9_19